# mainixkyu/23619007 architecture

> Architecture diagram of the GitHub repository mainixkyu/23619007, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-10-01). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/mainixkyu/23619007
- Repository: https://github.com/mainixkyu/23619007

## Overview

This repository contains a paper review, not an implementation. Its described product is DK-Font: a text-conditioned diffusion model for generating Korean glyphs in a consistent reference style. The documented workflow prepares character and style inputs, combines text, style, and stroke information, and uses a U-Net diffusion model to generate glyphs; training uses MSE and perceptual losses, and results are evaluated with image-quality metrics. Components and links below reflect the README only; no source code was available to verify implementation details.

Main entry points: [`README.md`](https://github.com/mainixkyu/23619007/blob/main/README.md) (U-Net diffusion)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_inputs["Inputs and preparation"]
  node_hanja_data[("Korean glyph dataset<br/>[README.md]")]
  node_preprocessing["Glyph preprocessing<br/>[README.md]"]
  node_phoneme_input["Jamo representation<br/>[README.md]"]
  node_style_input["Reference style image<br/>[README.md]"]
end

subgraph group_generation["Generation model"]
  node_text_encoder["Text encoder<br/>[README.md]"]
  node_style_encoder["Style encoder<br/>[README.md]"]
  node_attribute_encoder["Character attributes<br/>[README.md]"]
  node_diffusion_model["U-Net diffusion<br/>[README.md]"]
  node_generated_glyphs["Generated glyphs<br/>[README.md]"]
end

subgraph group_training["Training and evaluation"]
  node_training_objectives["Training losses<br/>[README.md]"]
  node_quality_metrics["Evaluation metrics<br/>[README.md]"]
end

node_designer(("Font designer"))

node_designer -->|"provides style"| node_style_input
node_hanja_data -->|"normalizes glyphs"| node_preprocessing
node_preprocessing -->|"encodes jamo"| node_phoneme_input
node_phoneme_input -->|"encodes text"| node_text_encoder
node_style_input -->|"encodes style"| node_style_encoder
node_text_encoder -->|"supplies text"| node_attribute_encoder
node_style_encoder -->|"supplies style"| node_attribute_encoder
node_attribute_encoder -->|"conditions diffusion"| node_diffusion_model
node_diffusion_model -->|"generates glyphs"| node_generated_glyphs
node_diffusion_model -->|"optimizes with"| node_training_objectives
node_generated_glyphs -->|"evaluated by"| node_quality_metrics

click node_hanja_data "https://github.com/mainixkyu/23619007/blob/main/README.md"
click node_preprocessing "https://github.com/mainixkyu/23619007/blob/main/README.md"
click node_phoneme_input "https://github.com/mainixkyu/23619007/blob/main/README.md"
click node_style_input "https://github.com/mainixkyu/23619007/blob/main/README.md"
click node_text_encoder "https://github.com/mainixkyu/23619007/blob/main/README.md"
click node_style_encoder "https://github.com/mainixkyu/23619007/blob/main/README.md"
click node_attribute_encoder "https://github.com/mainixkyu/23619007/blob/main/README.md"
click node_diffusion_model "https://github.com/mainixkyu/23619007/blob/main/README.md"
click node_generated_glyphs "https://github.com/mainixkyu/23619007/blob/main/README.md"
click node_training_objectives "https://github.com/mainixkyu/23619007/blob/main/README.md"
click node_quality_metrics "https://github.com/mainixkyu/23619007/blob/main/README.md"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_hanja_data,node_preprocessing,node_phoneme_input,node_style_input toneBlue
class node_text_encoder,node_style_encoder,node_attribute_encoder,node_diffusion_model,node_generated_glyphs toneAmber
class node_training_objectives,node_quality_metrics toneMint
class node_designer toneIndigo
```

## Components

### Inputs and preparation

- [Korean glyph dataset](https://github.com/mainixkyu/23619007/blob/main/README.md): `README.md`
- [Glyph preprocessing](https://github.com/mainixkyu/23619007/blob/main/README.md): `README.md`
- [Jamo representation](https://github.com/mainixkyu/23619007/blob/main/README.md): `README.md`
- [Reference style image](https://github.com/mainixkyu/23619007/blob/main/README.md): `README.md`

### Generation model

- [Text encoder](https://github.com/mainixkyu/23619007/blob/main/README.md): `README.md`
- [Style encoder](https://github.com/mainixkyu/23619007/blob/main/README.md): `README.md`
- [Character attributes](https://github.com/mainixkyu/23619007/blob/main/README.md): `README.md`
- [U-Net diffusion](https://github.com/mainixkyu/23619007/blob/main/README.md): `README.md`
- [Generated glyphs](https://github.com/mainixkyu/23619007/blob/main/README.md): `README.md`

### Training and evaluation

- [Training losses](https://github.com/mainixkyu/23619007/blob/main/README.md): `README.md`
- [Evaluation metrics](https://github.com/mainixkyu/23619007/blob/main/README.md): `README.md`

### Other components

- **Font designer**

## Connections

- Font designer → Reference style image: provides style (evidence: `README.md`)
- Korean glyph dataset → Glyph preprocessing: normalizes glyphs (evidence: `README.md`)
- Glyph preprocessing → Jamo representation: encodes jamo (evidence: `README.md`)
- Jamo representation → Text encoder: encodes text (evidence: `README.md`)
- Reference style image → Style encoder: encodes style (evidence: `README.md`)
- Text encoder → Character attributes: supplies text (evidence: `README.md`)
- Style encoder → Character attributes: supplies style (evidence: `README.md`)
- Character attributes → U-Net diffusion: conditions diffusion (evidence: `README.md`)
- U-Net diffusion → Generated glyphs: generates glyphs (evidence: `README.md`)
- U-Net diffusion → Training losses: optimizes with (evidence: `README.md`)
- Generated glyphs → Evaluation metrics: evaluated by (evidence: `README.md`)